CT Radiomics in Targeted Therapy Assessment for Non-Small Cell Lung Cancer:Current Status
10.3969/j.issn.1005-5185.2025.11.009
- VernacularTitle:CT影像组学在非小细胞肺癌靶向治疗评价中的应用现状
- Author:
Jun LIAO
1
;
Hongna TAN
1
Author Information
1. 郑州大学人民医院 河南省人民医院医学影像科,河南 郑州 450003
- Publication Type:Journal Article
- Keywords:
Carcinoma,non-small-cell lung;
Tomography,X-ray computed;
Radiomics;
Deep learning;
Genetic therapy;
Treatment outcome;
Review
- From:
Chinese Journal of Medical Imaging
2025;33(11):1191-1195,1202
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer represents the leading cause of cancer-related mortality worldwide,with non-small cell lung cancer(NSCLC)constituting the predominant histological subtype.Molecular targeted therapy serves as first-line treatment for advanced NSCLC patients with driver gene mutations,yet therapeutic response and prognosis vary substantially across molecular phenotypes.Conventional CT evaluation relies primarily on unidimensional tumor measurements but provides limited morphological and functional information.CT radiomics enables extraction and comprehensive analysis of numerous quantitative features from medical images,potentially revealing tumor genotype,treatment response and prognostic information.This approach shows significant promise for assessing targeted therapy outcomes in NSCLC.This review summarizes current applications and research advances in CT radiomics for NSCLC targeted therapy evaluation,providing insights to guide personalized precision medicine.
